1464: Availability of Contrast Enhanced Ultrasound Using Sonazoid for the Breast Cancer Patients Treated with Neoadjuvant Chemotherapy

2009 ◽  
Vol 35 (8) ◽  
pp. S225
Author(s):  
Yukio Mitsuzuka ◽  
Shinsaku Kanazawa ◽  
Hideaki Ogata ◽  
Syunsuke Magoshi ◽  
Aki Mitsuda ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Cancer Patients ◽  
Contrast Enhanced Ultrasound ◽  
Breast Cancer Patients ◽  
Contrast Enhanced

Combining contrast-enhanced ultrasound and blood cell analysis to improve diagnostic accuracy of plasma cell mastitis

2021 ◽  
pp. 153537022110493
Author(s):  
Yan Zheng ◽  
Lin Wang ◽  
Xiu Han ◽  
Lin Shen ◽  
Chen Ling ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Blood Cell ◽  
Diagnostic Accuracy ◽  
Cancer Patients ◽  
Plasma Cell ◽  
Perfusion Defect ◽  
Cell Analysis ◽  
Contrast Enhanced Ultrasound ◽  
Breast Cancer Patients ◽  
Contrast Enhanced

Plasma cell mastitis is a benign suppurative disease of the breast, lack of specific clinical manifestations, which is easy to be misdiagnosed and mistreated, often confused with mastitis, breast cancer (BC), and other diseases. Thus, we aimed to establish a combined model of promoting diagnostic accuracy of plasma cell mastitis by contrast-enhanced ultrasound (CEUS) patterns and routine blood cell analysis. Eighty-eight plasma cell mastitis, 91 breast cancer, and 152 other benign breast diseases’ patients grouped according to pathological diagnosis underwent CEUS and blood cell analysis examination; 100 healthy female donors were involved. All the plasma cell mastitis and breast cancer patients presented hyperenhancement of CEUS breast lesions compared with others. The majority of plasma cell mastitis (65/88) showed perfusion defect of CEUS patterns with smooth edge (56/65) and multiple lesions (49/65); in contrast, fewer breast cancer patients (30/91) displayed perfusion defect. White blood cell count (WBC), neutrophils, and neutrophils/lymphocytes ratio of blood cell analysis in plasma cell mastitis patients increased significantly compared with other patients ( P < 0.0001). Combining perfusion defect of CEUS patterns and WBC yielded an area under the receiver operating characteristic curve of 0.831, higher than single 0.720 and 0.774, respectively. The cut-off value of WBC (7.28 × 109/L) helped remaining 65.2% (15/23) atypical cases to be correctly diagnosed as plasma cell mastitis, not misdiagnosed as breast cancer. In conclusion, CEUS presented a clear perfusion defect pattern of plasma cell mastitis lesion for the first time. A precise WBC by routine blood cell analysis test can assist CEUS examination in the differential diagnosis of plasma cell mastitis and breast cancer. It is a promised combination for laboratory diagnostic of PCM.

A novel approach to identify sentinel lymph nodes using microbubbles and contrast enhanced ultrasound in preoperative breast cancer patients

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e11543-e11543
Author(s):  
A. Sever ◽  
S. Jones ◽  
K. Cox ◽  
J. Weeks ◽  
P. Mills ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Nodes ◽  
Cancer Patients ◽  
Surgical Excision ◽  
Sentinel Lymph Nodes ◽  
Histopathological Analysis ◽  
Contrast Enhanced Ultrasound ◽  
Breast Cancer Patients ◽  
Breast Clinic ◽  
Contrast Enhanced

e11543 Background: In patients with early invasive breast cancer, surgical excision of sentinel lymph nodes (SLN) has been shown to be a safe and accurate first-line technique to stage the axilla. In animal models, superficial lymphatics can be imaged using ultrasound and intradermal microbubbles. We investigated the ability of contrast enhanced ultrasound to identify SLN preoperatively in breast cancer patients. Methods: We recruited 46 consecutive consenting patients with primary breast cancer. Pre-operatively; patients received periareolar intra-dermal injection of microbubble contrast agent, breast lymphatics were visualised by ultrasound and followed to identify putative axillary SLN. In 41 patients, we aimed to place guide-wires in the SLN. Patients then underwent standard operative tumour excision, SLN biopsy and histopathological analysis. Results: Microbubble enhancement identified putative SLN in 5 successive patients. In 36 patients, putative SLN were visualised and guide-wires deployed. Operative findings confirmed the wired lymph nodes (LN) were SLN. In 2 cases, SLN contrast enhancement failed but guide-wires were placed into prominent grey-scale imaged LN. These wired LN were not SLN. In 3 patients, the procedure failed. Contrast enhanced ultrasound correctly identified SLN in 36 of 41 patients (88%). Five patients were found to have metastasis. In all metastatic cases, SLN were correctly identified and localised with guide-wires pre-operatively. Conclusions: Microbubbles readily enter breast lymphatics and contrast enhanced ultrasound may represent a practical method to identify SLN. Improvements in percutaneous techniques may facilitate ultrasound guided SLN excision in the breast clinic and could reduce the numbers of patients requiring axillary surgery. No significant financial relationships to disclose.

scholarly journals Identification of sentinel lymph nodes using contrast-enhanced ultrasound in breast cancer patients who underwent neoadjuvant chemotherapy.

2019 ◽  
Vol 5 (suppl) ◽  
pp. 59-59
Author(s):  
Xiufeng Wu ◽  
Lina Tang ◽  
Yi Zeng ◽  
Xia Chen
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Neoadjuvant Chemotherapy ◽  
Cancer Patients ◽  
False Negative ◽  
False Negative Rate ◽  
Breast Cancer Patients ◽  
Identification Rate ◽  
Contrast Enhanced ◽  
Sensitivity Specificity

59 Background: The aim of this prospective study was to evaluate the feasibility of contrast-enhanced ultrasonography (CEUS) for the identification of sentinel lymph node (SLN) in breast cancer patients with cN0 following neoadjuvant chemotherapy (NAC). Methods: Patients with cN0 following NAC (n=66) received a periareolar injection of SonoVue followed by ultrasound (US) to identify contrast-enhanced SLN before surgery. All patients underwent axillary lymph node dissection for verification of axillary node status after the SLN biopsy. The identification rate, sensitivity, specificity, accuracy, false negative rate, negative predictive value, positive predictive value was recorded. Results: In almost all cases, the SLNs were easily identified with an identification rate of 98.5 % (65/66). Compared with pathological diagnosis, sensitivity, specificity, accuracy, and false negative rate of CEUS for SLN diagnosis were 66.7%, 95.8%, 78.8%, and 14.3% respectively. Conclusions: Identification of SLN by CEUS is a technically feasible method with an identification rate as high as 98.5%. [Table: see text][Table: see text]

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